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Python Programming Complete Lecture Notes: Beginner to Advanced Syllabus (Data Types, OOP, File Handling) – Author: Malla Reddy College of Engineering & Technology

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Unlock your potential in Python programming with this comprehensive, 140+ page lecture note set, meticulously compiled by the Department of Computer Science and Engineering at Malla Reddy College. Covering the complete open elective syllabus (R17A0554), this all-in-one digital guide takes you from absolute beginner to a confident coder, breaking down complex concepts like data types, control flow, functions, and object-oriented structures into clear, easy-to-understand explanations with practical code examples. Master essential topics including conditionals and loops, fruitful functions with recursion, string operations and array methods, and in-depth coverage of lists, tuples, dictionaries, and set comprehensions. This resource goes beyond the basics, delving into critical areas such as file handling, command-line arguments, exception handling with try-except-finally blocks, and exploring powerful built-in modules like datetime, time, OS, calendar, and math. Whether you are a third-year engineering student preparing for semester exams, a professional looking to transition into data science, or a self-learner building a strong foundation, these notes provide the structured, exam-focused content you need. Featuring solved examples, pattern programs, and practical snippets on creating packages and modules, this document saves you countless hours of study time, eliminates confusion, and builds the confidence required to write efficient, clean Python code. Secure your academic success and coding proficiency today with this indispensable, one-stop reference that bridges the gap between classroom theory and real-world software development.

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PYTHON PROGRAMMING III YEAR/II SEM

PYTHON PROGRAMMING
LECTURE NOTES



DEPARTMENT OF
COMPUTER SCIENCE AND ENGINEERING



MALLA REDDY COLLEGE OF ENGINEERING &
TECHNOLOGY

,PYTHON PROGRAMMING III YEAR/II SEM

SYLLABUS
MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY

III Year B. Tech CSE -II SEM L T/P/D C
3 -/-/- 3
OPEN ELECTIVE III
(R17A0554) PYTHON PROGRAMMING
OBJECTIVES:
 To read and write simple Python programs.
 To develop Python programs with conditionals and loops.
 To define Python functions and call them.
 To use Python data structures –- lists, tuples, dictionaries.
 To do input/output with files in Python.
UNIT I
INTRODUCTION DATA, EXPRESSIONS, STATEMENTS
Introduction to Python and installation, data types: Int, float, Boolean, string, and list; variables,
expressions, statements, precedence of operators, comments; modules, functions--- function and its
use, flow of execution, parameters and arguments.

UNIT II
CONTROL FLOW, LOOPS
Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional
(if-elif-else); Iteration: while, for, break, continue.

UNIT III
FUNCTIONS, ARRAYS
Fruitful functions: return values, parameters, local and global scope, function composition,
recursion; Strings: string slices, immutability, string functions and methods, string module; Python
arrays, Access the Elements of an Array, array methods.

UNIT IV
LISTS, TUPLES, DICTIONARIES
Lists: list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list
parameters, list comprehension; Tuples: tuple assignment, tuple as return value, tuple comprehension;
Dictionaries: operations and methods, comprehension;

UNIT V
FILES, EXCEPTIONS, MODULES, PACKAGES
Files and exception: text files, reading and writing files, command line arguments, errors and
exceptions, handling exceptions, modules (datetime, time, OS , calendar, math module), Explore
packages.

,PYTHON PROGRAMMING III YEAR/II SEM
OUTCOMES: Upon completion of the course, students will be able to
 Read, write, execute by hand simple Python programs.
 Structure simple Python programs for solving problems.
 Decompose a Python program into functions.
 Represent compound data using Python lists, tuples, dictionaries.
 Read and write data from/to files in Python Programs


TEXT BOOKS
1. Allen B. Downey, ``Think Python: How to Think Like a Computer Scientist‘‘, 2nd edition,
Updated for Python 3, Shroff/O‘Reilly Publishers, 2016.
2. R. Nageswara Rao, “Core Python Programming”, dreamtech
3. Python Programming: A Modern Approach, Vamsi Kurama, Pearson

REFERENCE BOOKS:
1. Core Python Programming, W.Chun, Pearson.
2. Introduction to Python, Kenneth A. Lambert, Cengage
3. Learning Python, Mark Lutz, Orielly

, PYTHON PROGRAMMING III YEAR/II SEM

INDEX
UNIT TOPIC PAGE NO
INTRODUCTION DATA,
EXPRESSIONS, STATEMENTS
1
Introduction to Python and installation 1
data types: Int 6
float 7
Boolean 8
string 8
List 10
I variables 11
expressions 13
statements 16
precedence of operators 17
comments 18
modules 19
functions ----- function and its use 20
flow of execution 21
parameters and arguments 26
CONTROL FLOW, LOOPS 35
Conditionals: Boolean values and 35
operators,
II conditional (if) 36
alternative (if-else) 37
chained conditional (if-elif-else) 39
Iteration: while, for, break, continue. 41
FUNCTIONS, ARRAYS 55
Fruitful functions: return values 55
parameters 57
local and global scope 59
function composition 62
III recursion 63
Strings: string slices 64
immutability 66
string functions and methods 67
string module 72
Python arrays 73
Access the Elements of an Array 75
Array methods 76

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